Hi,
I want to see if survival rate varies according to their departure state. AIC supports this (AIC {phi= f.t (GEMACO)} << AIC {phi=t}), but the time varying model (phi= f.t) estimates of phi have huge CIs (due to data sparseness).
Still, I would like to get mean values of phi depending on their departure state to get an idea on how much they differ among them.
The dot model has quite acceptable CIs but I read that is not the best way to calculate this in the MARK Gentle Introduction (pg 6-83) where they suggest an alternative approach based on modifying the Design Matrix.
I have tried to do the same in the Constraint Matrix in the Gemaco Interface but I am a bit lost because the code is not as I would expect according to my past experience with MARK interface and because I don't know how to modify that.
Thanks for any help,
Simone